AWS Data Engineer with Spotfire
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with Spotfire, lasting 12 months in Ohio (Hybrid). Key skills include AWS Redshift, SQL, ETL processes, and data visualization. AWS certifications and Python skills are advantageous.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Ohio, United States
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🧠 - Skills detailed
#Visualization #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Data Science #Data Engineering #AWS (Amazon Web Services) #Monitoring #S3 (Amazon Simple Storage Service) #Spotfire #BI (Business Intelligence) #Data Quality #Python #Scala #SQL (Structured Query Language) #Redshift
Role description
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Role: AWS Data Engineer with Spotfire
Location: Ohio (Hybrid 3 days Onsite in a week)
Duration: 12 months
Job Description:
We are hiring a Data Engineer with strong expertise in AWS Redshift to help build and maintain scalable data infrastructure.
You will design and optimize ETL pipelines and manage Redshift clusters for performance and cost efficiency.
Develop robust data models and support BI needs through collaboration with analysts and data scientists.
Create and manage reports using Tibco Spotfire for data visualization and business insights.
Ensure data quality through testing, validation, and monitoring.
Hands-on experience with SQL, Redshift, S3, Lambda, Glue, and ETL processes is required.
Strong knowledge of CI/CD, data warehousing, and Spotfire is essential.
Python skills and AWS certifications are a plus
